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Muaz M. AI, Cloud and Data Science Platforms

My name is Muaz M. and I have over 9 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, PyTorch, Deep Learning, Machine Learning, OpenCV, etc.. I hold a degree in Licentiate degree, Master's degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Soccer Stats Analysis from Real-time Broadcast Videos, Traffic Monitoring System, Audience Monitoring through Surveillance Footage, Form Mapping Tool. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Cloud and Data Science Platforms

    9 years

  • Natural Language Processing

    2 Years

  • PyTorch

    8 Years

  • Deep Learning

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Johnson & Johnson

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Experience Highlights

Soccer Stats Analysis from Real-time Broadcast Videos

AI powered sports data analytics. Track every movement on the pitch. We only use broadcast streams to run our analysis, we don’t need any hardware to be installed on stadiums. Understand the games, pl

Traffic Monitoring System

Real-time analytics for traffic from CCTV footage. The system is able to process a number of cameras with accurate stats. System is made using Machine Learning and Deep Learning Algorithms with PyTorc

Audience Monitoring through Surveillance Footage

Audience Analytics through CCTV footage in retail store using detection and tracking models. System is using Machine Learning Algorithms with PyTorch in Python The system is able to work on edge devi

Form Mapping Tool

Built a deep learning tool which maps fields of target form to the source form i.e (Name, Gender, Address). The forms belonged to different universities which were then mapped to visa application form

Education

  • Udacity, Google

    Licentiate degree in AI Product Management Nanodegree

    2020-01-01-2021-01-01

  • Georgia Institute of Technology

    Master's degree in Artificial Intelligence, Computer Vision, Natural Language Processing

    2023-01-01-2025-01-01

  • National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in Data Science (ML, DL, CV, NLP/NLU, RL)

    2015-01-01-2019-01-01

Languages

  • English (Native or Bilingual)
  • Urdu (Native or Bilingual)